Publications by authors named "A D Anastasiou"
In Generative Artificial Intelligence (AI), Large Language Models (LLMs) like GPT-4, Gemini, Claude, and Llama, significantly impact healthcare by aiding in patient care, medical research, and administrative tasks. AI-powered chatbots offer real-time responses and manage chronic diseases, improving patient outcomes and operational efficiency. However, these models pose security and ethical challenges, necessitating robust data privacy, adversarial training, and ethical guidelines.
View Article and Find Full Text PDFThis study leverages the DCTPep database, a comprehensive repository of cancer therapy peptides, to explore the application of machine learning in accelerating cancer research. We applied Principal Component Analysis (PCA) and K-means clustering to categorize cancer therapy peptides based on their physicochemical properties. Our analysis identified three distinct clusters, each characterized by unique features such as sequence length, isoelectric point (pI), net charge, and mass.
View Article and Find Full Text PDFHeart failure (HF) is a growing concern due to the aging population and increasing prevalence of comorbidities. Despite advances in treatment, HF remains a significant burden, necessitating novel therapeutic approaches. Sodium-glucose cotransporter 2 inhibitors (SGLT2is) have emerged as a promising treatment option, demonstrating benefits across the entire spectrum of HF, regardless of left ventricular ejection fraction (LVEF).
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- The ASCAPE project focuses on enhancing the quality of life for cancer patients through AI-driven solutions, specifically analyzing sleep and urinary incontinence in prostate cancer patients following surgery.
- The study involved 42 participants with data collected through questionnaires and wearable devices over a year, aiming to uncover patterns to create personalized treatment interventions.
- Findings showed a significant correlation between poor sleep quality and urinary symptoms, indicating that improving sleep may help alleviate urinary issues in these patients.
Article Synopsis
- - The study investigates how a 3-month cardiopulmonary rehabilitation program affects heart health and blood vessel stiffness in people recovering from COVID-19, comparing them to a non-COVID-19 group.
- - Results show significant improvements in arterial stiffness (PWV) and left ventricular function in the COVID-19 group who participated in rehabilitation, while these measures remained poor in those who didn't.
- - The findings suggest that rehabilitation effectively enhances recovery in heart-related metrics and overall physical fitness in post-COVID-19 patients, emphasizing the importance of such programs after the illness.